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» Gaussian Processes for Machine Learning (GPML) Toolbox

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JMLR
2010

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Gaussian Processes for Machine Learning (GPML) Toolbox

14 years 4 months ago

Download jmlr.csail.mit.edu

The GPML toolbox provides a wide range of functionality for Gaussian process (GP) inference and prediction. GPs are specified by mean and covariance functions; we offer a library ...

Carl Edward Rasmussen, Hannes Nickisch

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ICML
2009
IEEE

157views Machine Learning» more ICML 2009»

Function factorization using warped Gaussian processes

15 years 10 months ago

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Mikkel N. Schmidt

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ECML
2007
Springer

168views Machine Learning» more ECML 2007»

Approximating Gaussian Processes with H2-Matrices

14 years 11 months ago

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Steffen Börm, Jochen Garcke

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ICML
2007
IEEE

206views Machine Learning» more ICML 2007»

Nonmyopic active learning of Gaussian processes: an exploration-exploitation approach

15 years 10 months ago

Download reports-archive.adm.cs.cmu.edu

Andreas Krause, Carlos Guestrin

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ICML
2009
IEEE

219views Machine Learning» more ICML 2009»

Non-linear matrix factorization with Gaussian processes

15 years 10 months ago

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